{"as_of":"2026-08-08T14:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d3a82dde2ee5f4a04f9de1763aca254c7b437110bc18eef69daa83ae602494e","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:33:23.643142Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.21246/citation-record","integrity":"/paper/2508.21246/integrity","json":"/paper/2508.21246/citation-record.json","paper":"/paper/2508.21246"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.12180","last_updated":"2024-06-24T08:08:33Z","snapshot_observed_at":"2026-07-06T12:41:19.130331Z","submitted_at":"2022-02-24T16:26:23Z","title":"Quantum Deep Reinforcement Learning for Robot Navigation Tasks","version":3},"cited_work":{"arxiv_id":"2202.12180","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.12180","snapshot_observed_at":"2026-08-05T14:33:26.407167Z","title":"Quantum Deep Reinforcement Learning for Robot Navigation Tasks","venue":"cs.RO","work_id":"7acae9df-5edc-43b1-adb7-b44b778f9356","year":2022},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.020372Z"},"links":{"cited_paper":"/paper/2202.12180","citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:e453866bd9548ae1c32e71ade672c28a9190aacec14cda6250399774a2ce61c5","observation_id":"65ae3828-081b-4353-b370-6ef546cf793b","resolution":{"observed_at":"2026-08-05T14:33:26.463216Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:21.082729Z","title":"Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.082729Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:368bf14336b575978723a2224710182db913145f2f4a44dc705f66598c39652a","observation_id":"eb3570b8-8411-407f-a384-0e28b202717d","resolution":{"observed_at":"2026-08-05T14:33:21.082729Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2010.20908","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:26.284516Z","title":"Robust quantum-inspired reinforcement learning for robot navigation,","venue":null,"work_id":"7f44a85d-549f-490f-9d7a-25fce074892d","year":2012},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.156113Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:0724a5ae6f935e735a3ae11ab77a887d6c7157ba99cf02adb1a7ee27baf92383","observation_id":"b66a6d80-894e-49f4-9c11-07414e89ecd5","resolution":{"observed_at":"2026-08-05T14:33:26.339244Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2008.92574","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:26.059834Z","title":"Quantum Reinforcement Learning,","venue":null,"work_id":"7333c7b7-1170-4d67-be50-a3af3e503bb0","year":2008},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.209429Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:99a21c55b85b4e6f0b4f9f4d8688ecedc7989996e24342dd354c96bf2124eeb0","observation_id":"c671e1de-1890-4315-a5c6-3c6fd384da27","resolution":{"observed_at":"2026-08-05T14:33:26.108148Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:21.300957Z","title":"QRA: Quantum Reinforcement Agent for Generating Optimal Quantum Sensor Circuits,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.300957Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:51d6de3107237ed47d55dfeb87527b0ade1501396e2d61142a5d02e117073e32","observation_id":"62c2a834-f59a-473e-a2b0-fb745b5d9084","resolution":{"observed_at":"2026-08-05T14:33:21.300957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.00397","last_updated":"2020-07-20T13:47:07Z","snapshot_observed_at":"2026-07-06T08:03:53.351060Z","submitted_at":"2019-06-30T15:35:07Z","title":"Variational Quantum Circuits for Deep Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.00397","snapshot_observed_at":"2026-08-05T14:33:21.360463Z","title":"Variational Quantum Circuits for Deep Reinforcement Learning","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.360463Z"},"links":{"cited_paper":"/paper/1907.00397","citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:115f7b594465588f50dbbe09e3a406d7628319580cf8ae5f81229ff9acd9f82d","observation_id":"2c0837cd-5829-451a-8889-da096c75ff1c","resolution":{"observed_at":"2026-08-05T14:33:21.360463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.34373","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:25.699887Z","title":"ReLAQA: Reinforcement Learning- Based Autonomous Quantum Agent for Quantum Applications,","venue":null,"work_id":"608e1122-d5cf-46a1-9f43-85b24fa8bc06","year":2024},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.470880Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:c42f65b55a7e387fc2a7995655fad02b7093f4502231586c270aefc85879a3a4","observation_id":"eb6901ba-892d-4e42-bd60-5eaed4d508d0","resolution":{"observed_at":"2026-08-05T14:33:25.732214Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:29.059256Z","title":"Quantum multi-agent reinforcement learning via variational quantum circuit design","venue":null,"work_id":"847c4199-408e-4c78-aaa8-7cc1c858b119","year":2022},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.535281Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:04f87552188383b7bbcef8ff63f37347a5d95303c44aaa7283b0652eabdacaba","observation_id":"12ac8452-a6d6-4274-a13c-c380058aab4b","resolution":{"observed_at":"2026-08-05T14:33:29.222273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.10711","last_updated":"2025-03-07T02:57:09Z","snapshot_observed_at":"2026-07-06T10:26:08.789084Z","submitted_at":"2020-12-19T15:16:17Z","title":"Quantum reinforcement learning in continuous action space","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.10711","snapshot_observed_at":"2026-08-05T14:33:21.612949Z","title":"Quantum reinforcement learning in continuous action space,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.612949Z"},"links":{"cited_paper":"/paper/2012.10711","citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:fa48554944c1efa607ce4a610a00cb344e80fc70219e7ea55132c2de415f3ca6","observation_id":"1a3a32e8-c6e1-4cbd-9a0f-2bb6178f8d4e","resolution":{"observed_at":"2026-08-05T14:33:21.612949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:28.802437Z","title":"Variational quantum reinforcement learning via evolutionary optimization","venue":null,"work_id":"6f1c7bc8-fc0a-42c1-aef3-0ed0709474ce","year":2022},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.692577Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:29553943049d7ee7aa6a46bfd64f88e29c276aec185f8d6635bc4370ceed687e","observation_id":"a55e56e9-d484-4353-b02f-fe07d0e550ac","resolution":{"observed_at":"2026-08-05T14:33:28.938162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04741","last_updated":"2023-05-10T08:36:41Z","snapshot_observed_at":"2026-07-06T13:19:15.758425Z","submitted_at":"2022-06-09T19:23:10Z","title":"Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04741","snapshot_observed_at":"2026-08-05T14:33:21.747242Z","title":"Quantum Policy Iteration via Amplitude Estimation and Grover Search Towards Quantum Advantage for Reinforcement Learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.747242Z"},"links":{"cited_paper":"/paper/2206.04741","citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:d1dc2bbd524074c0fdf0781bf5e2fcb2ca18fa6107c259227ad60b14d7c5b44a","observation_id":"b65eda8c-aa9c-4614-8c3e-9ac8bc05468b","resolution":{"observed_at":"2026-08-05T14:33:21.747242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:28.527091Z","title":"Measurement-Based Feedback Quantum Control with Deep Reinforcement Learning for a Double-Well Nonlinear Potential,","venue":null,"work_id":"11f7a041-3cca-4862-b585-73627ae0ba24","year":2021},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.849519Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:6193e7931f3f8b750bbd0f965792edb11ed3beb1b154799fc0c3caa96233c4bd","observation_id":"9c72be0f-641c-4c49-9cb6-e7ba2dc757d9","resolution":{"observed_at":"2026-08-05T14:33:28.631745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:28.312670Z","title":"Model-Free Quantum Control with Reinforcement Learning,","venue":null,"work_id":"22355a8c-799c-48e7-8741-606dc4b96ea6","year":2022},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:21.917277Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:b10a2d3b7e9d7fe3bad66de6053c273fb369bd74daf08527328843e43104f031","observation_id":"95407b69-04ae-41cb-8618-01211af4d009","resolution":{"observed_at":"2026-08-05T14:33:28.399312Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:28.162848Z","title":"Policy gradients using variational quantum circuits,","venue":null,"work_id":"bb6ddd77-11f3-4368-86a8-548a8750d042","year":2023},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.008735Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:d424a3b887b6a2c77e2a569d9b7ee26ef17cfedc6f3ceaf3a3c100a9c40929cb","observation_id":"fa3ab679-a1ab-416f-89ab-eb7d8c91d1f3","resolution":{"observed_at":"2026-08-05T14:33:28.239075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:28.035411Z","title":"Squeezed states of light,","venue":null,"work_id":"2000786e-a864-421f-a89e-6583950350f0","year":1983},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.086678Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:f511190cca3bd9894756dfba62628c9709e1a8a582aff26c5a751970bc3316db","observation_id":"fb79c7c4-8f27-4891-a05b-0436dc018336","resolution":{"observed_at":"2026-08-05T14:33:28.110159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:27.857015Z","title":"Variational spin-squeezing algorithms on programmable quantum sensors,","venue":null,"work_id":"3e2e2626-40ad-4c92-a706-6248cdf5a511","year":2019},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.175813Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:3e7d68f46ee14abb43ed097bc540bf212e4afa85a43598d35e7ab96de428fd06","observation_id":"aec20ef8-e22b-4b1d-b1fb-4d56fdc56cea","resolution":{"observed_at":"2026-08-05T14:33:27.934873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.01860","last_updated":"2022-01-10T16:45:10Z","snapshot_observed_at":"2026-08-06T10:10:30.101864Z","submitted_at":"2021-07-05T08:30:12Z","title":"Optimal metrology with programmable quantum sensors","version":2},"cited_work":{"arxiv_id":"2107.01860","doi":null,"metadata_source":"pith","pith_arxiv_id":"2107.01860","snapshot_observed_at":"2026-08-05T14:33:25.342315Z","title":"Optimal metrology with programmable quantum sensors","venue":"quant-ph","work_id":"ccbfd9a8-9d9b-4782-a1f7-54a6bdccfc03","year":2021},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.253108Z"},"links":{"cited_paper":"/paper/2107.01860","citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:7e2d0a272886b5a322883819b170021148f97104360af41edbdeb78165cbd284","observation_id":"3a2dd559-df5d-4857-86c9-724a118cf515","resolution":{"observed_at":"2026-08-05T14:33:25.408687Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:27.704824Z","title":"Quantum variational optimization of Ramsey interferometry and atomic clocks,","venue":null,"work_id":"3bedd947-27b4-438a-8267-32f5cfe5d689","year":2021},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.368132Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:784cdb2bdccbe351048bfc3311ca15b061600db8d6358167cee5dcb980671f82","observation_id":"478e7d75-6b39-48e9-bc06-632a8eaf7dbf","resolution":{"observed_at":"2026-08-05T14:33:27.757513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:27.545128Z","title":"Experiments with separated oscillatory fields and hydrogen masers,","venue":null,"work_id":"b7799200-2a35-4015-b83e-e92e3fd61dc5","year":1990},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.419833Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:878c45570ae250baaeda75db49e99eb45d2c2ca3c74812a5c706fa7637566910","observation_id":"759d652a-2793-4613-bc73-980a8b54cb8a","resolution":{"observed_at":"2026-08-05T14:33:27.599551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:27.345803Z","title":"Quantum state control of a Bose- Einstein condensate in an optical lattice,","venue":null,"work_id":"a3a60ba4-7c0a-4bba-ad97-384276c82585","year":2021},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.519050Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:b9350326330af23a4e86d0a70462dfafbda48e43e2a93bcb580851bace24b9d9","observation_id":"00b8142d-eb1f-4a90-8a6b-433c442c3539","resolution":{"observed_at":"2026-08-05T14:33:27.412952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:27.164461Z","title":"Statistical distance and the geometry of quantum states,","venue":null,"work_id":"8292e623-5b8f-4b6c-98b3-a34ba0a0fdd1","year":1994},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.631230Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:b4fa99fafbf04f0ce7b794f2807f6b9fa560922ed889486c49351e5121974004","observation_id":"28977713-f8ba-4190-9ffb-10d4bddf0ca6","resolution":{"observed_at":"2026-08-05T14:33:27.228341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:27.005983Z","title":"Introduction To Quantum Fisher Information,","venue":null,"work_id":"04631330-83bf-4dc0-99f7-77a7cd98f4c5","year":2011},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.689363Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:d6aaff4dce7e366d967976b55a1d125ab0089c60b30c5685a4e6210c19e835f3","observation_id":"8398dcdd-7d66-4c8a-a548-7d1868b9f1cd","resolution":{"observed_at":"2026-08-05T14:33:27.074564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:26.855165Z","title":"Quantum Fisher information from randomized measurements,","venue":null,"work_id":"4e680f38-7707-4b75-a6cd-24c74735e513","year":2021},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.775572Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:ffea7a90cf95ee7cc1b831071d949899027c97997884897742df015a7ed72b80","observation_id":"c892aa0e-ff10-408d-94e6-c2c4c48a0f04","resolution":{"observed_at":"2026-08-05T14:33:26.922859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41534-022-00547-x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:24.198987Z","title":"Quantum Fisher information measurement and verification of the quantum Cramér–Rao bound in a solid-state qubit,","venue":null,"work_id":"5bb297dd-9d31-4eb6-ac84-76096d74b173","year":2022},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.889490Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:3c185a1116260dcd9da808652547f1830878b46abca310335ef0b7bb8868d32d","observation_id":"682128ab-213e-4e9c-9fc0-36e571959218","resolution":{"observed_at":"2026-08-05T14:33:24.269772Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevresearch.3.033279","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:24.017507Z","title":"Reinforcement-learning-based matter-wave interferometer in a shaken optical lattice,","venue":null,"work_id":"754323d0-9aa1-4a2e-9673-e9fe1614de0d","year":2021},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:22.971454Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:8e04021014322ec7fe4f285a09017628d4314828eedeb3d7b49740e718cc4ad0","observation_id":"3c51e5d9-e595-4c4c-bc40-d741b9fe2407","resolution":{"observed_at":"2026-08-05T14:33:24.098721Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:26.698951Z","title":"A Quantum Rosetta Stone for Interferometry,","venue":null,"work_id":"a3b68d5b-f4fa-47c2-9eaa-1bf71052decb","year":2002},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:23.070817Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:c0011170c11f945fc3f7de47f422caa8b14d743f8214df4305ce572bc2a987e9","observation_id":"b1d9d717-4438-44ab-8ea4-cfde869e4ee7","resolution":{"observed_at":"2026-08-05T14:33:26.769368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2012.62227","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:25.138344Z","title":"Quantum computers: Registers, gates and algorithms,","venue":null,"work_id":"c510c327-4d45-43b2-958e-e03f4cb5365e","year":2012},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:23.143244Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:58b4c2aaf410c560deea04b6d210abac9f57d05eea18c067bc0b05fd6bbf83e3","observation_id":"67dc1126-67a4-47b6-9bf0-abbf3cd31769","resolution":{"observed_at":"2026-08-05T14:33:25.218029Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.87871","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:24.827237Z","title":"A Review on quantum computing: From qubits to front-end electronics and cryogenic mosfet physics,","venue":null,"work_id":"e6935594-4546-47bd-a0db-0cb0a31394ec","year":2019},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:23.266215Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:c173c47b5bddf16e07dcd42b04894cb29b3a2a65f55987bdbee247d394d31d75","observation_id":"0ded9b43-f587-4f8f-8d02-c3f311c7dbe9","resolution":{"observed_at":"2026-08-05T14:33:24.908077Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:26.535801Z","title":"Poincaré Husimi representation of eigenstates in quantum billiards,","venue":null,"work_id":"4b04b835-91e8-4127-b00e-20aca1a2c339","year":2004},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:23.367038Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:273b5112b477a2be3e1231fa41fd6f9e7ba442d1a35f3182e6bcade299ebfeed","observation_id":"b8dd92d9-b25d-4fbd-b850-7210ed4485f9","resolution":{"observed_at":"2026-08-05T14:33:26.598992Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physreva.105.012409","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:23.867975Z","title":"arttner, T. Haas, and O. R. Stockdale,","venue":null,"work_id":"23b0593e-f952-40bc-999f-042c07bdc255","year":null},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:23.477819Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:0c2bb8b3fb1e7210734bdf62f580161a683a05e5615a7746c415d5ca197f4dc6","observation_id":"b7299f74-3f9b-4ba6-83ad-b50272ed65e0","resolution":{"observed_at":"2026-08-05T14:33:23.922648Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:23.586856Z","title":"Quantum convolutional neural networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:23.586856Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:89481654ff7f106c61f4c14989098e9ac71eaaada33ddf262465557e4c453113","observation_id":"8e2ec41d-6b2b-4a18-87ed-2e6b9fe52317","resolution":{"observed_at":"2026-08-05T14:33:23.586856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.35569","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:33:24.555750Z","title":"GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits,","venue":null,"work_id":"df586375-1cd1-43b3-b29e-3d0bb99b696b","year":2025},"citing_paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T14:33:23.643142Z"},"links":{"citing_paper":"/paper/2508.21246"},"observation_digest":"sha256:c78c10db5dfe71a1a2ae58475656794d57aff142d9b493b79d3187ab9391a8f8","observation_id":"cba97958-b661-465a-b634-b8be2dcb0800","resolution":{"observed_at":"2026-08-05T14:33:24.647258Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.21246","last_updated":"2025-08-28T22:27:48Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-05T14:33:19.086005Z","submitted_at":"2025-08-28T22:27:48Z","title":"HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":2,"metadata_mismatch":6,"parse_uncertain":0,"unresolved":5,"verified_exact":5,"verified_fuzzy":14},"total_outbound_references":32},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2508.21246."}